Comparative Performance Study between DTC_C and DTNC Multi-level Inverter Fed DSIM

Type : Article de conférence
Auteur(s) :  O.Benaouda, A.Boutaghane, A.Bendiabdellah, S.Chaouch
Année :  2016
Domaine : Génie électrique
Conférence: 7th African Conference on Non Destructive Testing (ACNDT) & the 5th International Conference on NDT and Materials Industry and Alloys (IC-WNDT-MI)
Lieu de la conférence:  Oran, Algeria
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  A double-Stator Induction Machine, Direct Torque Control, Neural Network, Multi-level Inverter.

Résumé : 

A comparative performance study between the classical direct torque control (DTC_C) and that of a direct torque control improved by applying the technique of artificial intelligence based on the neural network (DTNC) is proposed in this paper. The command is applied to a double-stator induction machine (DSIM) fed by a multi-level inverter. Simulation results of the speed control of the machine and the improvement of the torque and the flux by reducing the fluctuations are studied by illustrating the DTNC merits compared to the classical DTC_C.